Latest AI and machine learning research in pathology for healthcare professionals.
Endometrioid adenocarcinoma (EA) has been on the increase in recent years in developed countries. Ea...
Breast cancer is a significant global health concern, where precise identification of proteins like ...
OBJECTIVE: Construct a prediction model for lymph node metastasis (LNM) in papillary thyroid carcino...
Latest developments in spatial transcriptomics enable thoroughly profiling of gene expression while ...
INTRODUCTION: Determining the ideal surgical strategy for breast pathologies can sometimes be challe...
MOTIVATION: Bioprinting enables the creation of complex tissue scaffolds, which are vital for tissue...
BACKGROUND: Cytological diagnosis of pleural effusion plays an important role in the early detection...
BACKGROUND: Recent advancements in digital pathology have extended into cytopathology. Laboratories ...
Applications of artificial intelligence (AI) and machine learning (ML) are rapidly developing to sup...
This study investigated the relationship between clinician assessments and the AI-generated scores, ...
PURPOSE: Breast ultrasound (BUS) computer-aided diagnosis (CAD) systems aims to perform two major st...
PURPOSE OF REVIEW: The objective of this review is to provide an update on the application of artifi...
Glioblastoma (GBM), primary central nervous system lymphoma (PCNSL), and brain metastases (BM) are c...
Breast cancer is the second most deadly malignancy in women, behind lung cancer. Despite significant...
Early and accurate diagnosis significantly improves the chances of disease survival. DNA methylation...
An automated device is described which enables programmable submersion in liquid nitrogen to enable ...
Colorectal cancer (CRC) represents a major global disease burden with nearly 1 million cancer-relate...
Vaginitis is a prevalent gynecological condition that impacts women's quality of life, with most wom...
Cell-free DNA (cfDNA) analysis is a powerful, minimally invasive tool for monitoring disease progr...
Accurately predicting gene mutations, mutation subtypes and their exons in lung cancer is critical...
Tumor data synthesis offers a promising solution to the shortage of annotated medical datasets. Ho...